Global Matching Feature of Reference View.    The asymmetric employment of the transformer block to the reference frame, provides accurate matching features for cost volume construction. We compare our transformer layer with another way similar to the GMA module in [1]}, which applies the transformer layer to motion feature for improved optical flow estimation based on [2]}. We applied the same transformer layer to the GRUs layers, but found worse results when evaluated on the ScanNet test set, with \(abs\)  error increased from \(0.1392\)  meters to \(0.1621\)  meters.
